Optimization of parameters of the chemic kinetic model by improved genetic algorithms

Detailed kinetic model is one of the most important basic research items that the chemic synthesis techniques will have been commercialized from laboratory. A great breakthrough has been made in the detailed mechanistic kinetics of the chemic synthesis, but LM(Levenberg-Marquardt) algorithm still plays a leading role in estimating parameters of the kinetic model. As an unlimited algorithm, LM algorithm often makes an erroneous conclusion because of parameters exceeding limit. Its computation deeply depends on the initial point, and easily falls into non-global optima. It is a new attempt to apply GA(Genetic Algorithm) to the solutions of optimization problems of FTS(Fischer-Tropsch Synthesis) parameters. After a number of systemic tests, comparatively satisfying results of parameters-estimating and a lot of precious experience on GA have been obtained. The detailed kinetic model of FTS is provided by Institute of Coal Chemistry, Chinese Academy of Sciences.